Face Registration is integrated with Database.
10
DBHelper.py
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@ -100,13 +100,13 @@ def get_address(user_id):
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# Uploads the photo of user, input should be something like "example.png"
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# Uploads the photo of user, input should be something like "example.png"
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def upload_user_photo(user_photo):
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def upload_user_photo(user_id):
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storage.child("Photos_of_Users/" + user_photo).put("Photos_of_Users/" + user_photo)
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storage.child("Photos_of_Users/" + user_id).put("Facial_images/face_rec/train/" + user_id)
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# Uploads the photo of thief, input should be something like "example.png"
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# Uploads the photo of thief, input should be something like "example.png"
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def upload_thief_photo(user_photo):
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def upload_thief_photo(thief_id):
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storage.child("Photos_of_Thieves/" + user_photo).put("Photos_of_Thieves/" + user_photo)
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storage.child("Photos_of_Thieves/" + thief_id).put("Facial_images/face_rec/train/" + thief_id)
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# Downloads the specified user photo.
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# Downloads the specified user photo.
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@ -127,3 +127,5 @@ def delete_user_photo(user_photo):
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# Deletes photo of the specified thief.
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# Deletes photo of the specified thief.
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def delete_thief_photo(user_photo):
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def delete_thief_photo(user_photo):
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storage.delete('Photos_of_Thieves/' + user_photo)
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storage.delete('Photos_of_Thieves/' + user_photo)
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upload_data("1", "Batuhan", "Basoglu", "bbaso079@uottawa.ca", "6138072241", "257 Lisgar Street")
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@ -4,22 +4,19 @@ import math
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import cv2
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import cv2
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label = "Batuhan_Basoglu"
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def register_your_face(label):
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num_cap = 20
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num_cap = 20
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path = sys.path[0] + '/Facial_images/face_rec/train/' + label
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path = sys.path[0] + '/Facial_images/face_rec/train/' + label
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folder = os.path.exists(path)
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folder = os.path.exists(path)
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if not folder:
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if not folder:
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os.makedirs(path)
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os.makedirs(path)
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cap = cv2.VideoCapture(0)
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cap = cv2.VideoCapture(0)
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c = 0
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c = 0
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while(c < num_cap):
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while c < num_cap:
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ret, frame = cap.read()
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ret, frame = cap.read()
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cv2.imshow("capture", frame)
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cv2.imshow("capture", frame)
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Before Width: | Height: | Size: 78 KiB |
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Before Width: | Height: | Size: 78 KiB |
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@ -67,7 +67,7 @@ class Motor:
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elif userStop=="N":
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elif userStop=="N":
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return False
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return False
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else:
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else:
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stop_motor(self)
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self.stop_motor(self)
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def start_alarm(self):
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def start_alarm(self):
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@ -1,5 +1,5 @@
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import DBHelper
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import DBHelper
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import Facial_Recognition_Software
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import Facial_Recognition_Registration
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def upload_your_face(firstname, lastname, email, phone, address):
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def upload_your_face(firstname, lastname, email, phone, address):
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@ -10,8 +10,12 @@ def upload_your_face(firstname, lastname, email, phone, address):
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try:
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try:
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for user in users.each():
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for user in users.each():
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count += 1
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count += 1
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DBHelper.upload_data(count, firstname, lastname, email, phone, address)
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DBHelper.upload_data("user_" + str(count), firstname, lastname, email, phone, address)
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Facial_Recognition_Registration.register_your_face("user_" + str(count))
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for x in range(20):
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DBHelper.upload_user_photo("user_" + str(count) + "/" + str(x) + ".jpg")
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except:
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except:
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DBHelper.upload_data("1", firstname, lastname, email, phone, address)
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DBHelper.upload_data("1", firstname, lastname, email, phone, address)
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Facial_Recognition_Registration.register_your_face("user_1")
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for x in range(20):
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DBHelper.upload_user_photo("user_1/" + str(x) + ".jpg")
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